| Literature DB >> 28249610 |
Venkatraman Chandra-Mouli1, Sheila Vipul Patel2.
Abstract
BACKGROUND: Menstruation is a natural physiological process that requires proper management. Unlike other normal bodily processes, menstruation is linked with religious and cultural meanings that can affect the perceptions of young girls as well as the ways in which the adults in the communities around them respond to their needs.Entities:
Keywords: Adolescent girls; Menarche; Menstrual health; Menstrual health problems; Menstrual hygiene management; Menstruation
Mesh:
Year: 2017 PMID: 28249610 PMCID: PMC5333382 DOI: 10.1186/s12978-017-0293-6
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Study characteristics
| Characteristic | Frequency |
|---|---|
| Design | |
| Descriptive | 70 |
| Intervention | 11 |
| Method | |
| Mixed methods | 16 |
| Qualitative | 7 |
| Quantitative | 58 |
| Region | |
| East Africa (Ethiopia, Kenya, Malawi, Tanzania, Uganda) | 10 |
| North Africa (Egypt) | 4 |
| West Africa (Ghana, Nigeria) | 10 |
| North/Central America (Mexico) | 3 |
| South America (Brazil) | 1 |
| East Asia (China) | 1 |
| Southeast Asia (Malaysia) | 6 |
| South Asia (Bangladesh, India, Nepal, Pakistan, Sri Lanka) | 39 |
| West Asia (Iran, Jordan, Lebanon, Turkey) | 7 |
| Settinga | |
| Mix | 21 |
| Rural | 23 |
| Urban | 30 |
| School statusa | |
| Mix of school-going and out-of-school | 12 |
| School-going | 63 |
aAll included studies did not specify setting or girls’ school status
Awareness of menstruation prior to menarche
| First author, Year | Country | Setting | School status | N | Aware |
|---|---|---|---|---|---|
| North Africa | |||||
| Eswi 2012 [ | Egypt | Urban | School-going | 200 | 74.0% |
| South Asia | |||||
| Bosch 2008 [ | Bangladesh | Rural | Unclear | 156 | 35.0% |
| Khanna 2005 [ | India | Mix | Out-of-school | 358 | 5.6% |
| Dambhare 2012 [ | India | Mix | School-going | 561 | 75.6% |
| Juyal 2013 [ | India | Mix | School-going | 453 | 64.5% |
| Khanna 2005 [ | India | Mix | School-going | 372 | 9.8% |
| Thakre 2011 [ | India | Mix | School-going | 387 | 37.0% |
| Khanna 2005 [ | India | Rural | Mix | NRa | 2.8% |
| Dasgupta 2008 [ | India | Rural | School-going | 160 | 67.5% |
| Shanbhag 2012 [ | India | Rural | School-going | 329 | 57.9% |
| Sudeshna 2012 [ | India | Rural | School-going | 190 | 47.4% |
| Dhingra 2009 [ | India | Rural | Unclear | 200 | 64.0% |
| Tiwari 2006 [ | India | Unclear | School-going | 763 | 62.7% |
| Khanna 2005 [ | India | Urban | Mix | NRa | 12.1% |
| Omidvar 2010 [ | India | Urban | School-going | 336 | 64.5% |
| Yasmin 2013 [ | India | Urban | School-going | 147 | 42.2% |
| Bobhate 2011 [ | India | Urban | Unclear | 241 | 20.3% |
| Udgiri 2010 [ | India | Urban | Unclear | 342 | 18.4% |
| Ali 2010 [ | Pakistan | Urban | Government school | 425 | 47.8% |
| Ali 2010 [ | Pakistan | Urban | Out-of-school | 425 | 38.8% |
| Ali 2010 [ | Pakistan | Urban | Private school | 425 | 34.1% |
| West Asia | |||||
| Reis 2011 [ | Turkey | Urban | Mix | 310 | 67.4% |
| Ersoy 2004 [ | Turkey | Urban | School-going | 1017 | 100.0% |
NR Not reported
aOf 730 girls, the number in rural versus urban settings was not specified
Most commonly reported sources of menstrual information
| First author, Year | Country | Setting | School status | N | Most common source (%) |
|---|---|---|---|---|---|
| East Africa | |||||
| Zegeye 2009 [ | Ethiopia | Mix | School-going | 564 | Mother (39.7%) |
| North Africa | |||||
| Abd El-Hameed 2011 [ | Egypt | Mix | School-going | 160 | Mother (59.4%) |
| El-Gilany 2005 [ | Egypt | Mix | School-going | 642 | Mother (92.2%), mass media (92.2%) |
| Eswi 2012 [ | Egypt | Urban | School-going | 200 | Mother (53.0%) |
| West Africa | |||||
| Gumanga 2012 [ | Ghana | Urban | School-going | 456 | Parent (80.2%) |
| Adinma 2009 [ | Nigeria | Urban | School-going | 550 | Mother (48.4%) |
| Ajah 2015 [ | Nigeria | Urban | School-going | 482 | Mother (81.5% |
| Aniebue 2009 [ | Nigeria | Urban | School-going | 495 | Mother (71.5%) |
| Lawan 2010 [ | Nigeria | Urban | School-going | 385 | Mother (35.3%) |
| Oche 2012 [ | Nigeria | Urban | School-going | 122 | Mother or grandmother (56.6%) |
| Central America | |||||
| Marván 2012 [ | Mexico | Urban | School-going | 405 | Mother (78.0%) |
| South Asia | |||||
| Bosch 2008 [ | Bangladesh | Rural | Unclear | 86 | Sister (29.0%) |
| Dambhare 2012 [ | India | Mix | School-going | 561 | Mother (38.2%) |
| Thakre 2011 [ | India | Mix | School-going | 143 | Mother (71.3%) |
| Khanna 2005 [ | India | Rural | Mix | - | Mother (55.1%) |
| Dasgupta 2008 [ | India | Rural | School-going | 160 | Mother (37.5%) |
| Kanotra 2013 [ | India | Rural | School-going | 323 | Mother (94.4%) |
| Kotecha 2009 [ | India | Rural | School-going | 340 | Mother (32.9%) |
| Mudey 2010 [ | India | Rural | School-going | 300 | Mother (40.7%) |
| Shanbhag 2012 [ | India | Rural | School-going | 506 | Mother (55.1%) |
| Sudeshna 2012 [ | India | Rural | School-going | 80 | Mother or sister (45.0%) |
| Dhingra 2009 [ | India | Rural | Unclear | 200 | Friend (83.0%) |
| Tiwari 2006 [ | India | Unclear | School-going | 486 | Mother (60.7%) |
| Khanna 2005 [ | India | Urban | Mix | - | Mother (66.8%) |
| Sharma 2008 [ | India | Urban | Mix | 156 | Mother (73.7%) |
| Omidvar 2010 [ | India | Urban | School-going | 215 | Mother (54.0%) |
| Yasmin 2013 [ | India | Urban | School-going | 147 | Friend (20.4%) |
| Bobhate 2011 [ | India | Urban | Unclear | 241 | Mother (75.9%) |
| Udgiri 2010 [ | India | Urban | Unclear | 63 | Mother (63.5%) |
| Adhikari 2007 [ | Nepal | Rural | School-going | 150 | Coursebook (14.7%) |
| Sharma 2003 [ | Nepal | Urban | School-going | 96 | Mother (37.5%) |
| Ali 2010 [ | Pakistan | Urban | Government school | 203 | Sister (35.5%) |
| Ali 2010 [ | Pakistan | Urban | Out-of-school | 165 | Sister (49.7%) |
| Ali 2010 [ | Pakistan | Urban | Private school | 145 | Mother (37.9%) |
| Chandraratne 2011 [ | Sri Lanka | Urban | School-going | 473 | Mother (67.0%) |
| Southeast Asia | |||||
| Lee 2006 [ | Malaysia | Mix | School-going | 2247 | Mother (80.0%) |
| Wong 2011 [ | Malaysia | Rural | School-going | 984 | Mother (62.3%) |
| Wong 2011 [ | Malaysia | Rural | School-going | 577 | Mother (31.7%) |
| Wong 2011 [ | Malaysia | Urban | School-going | 407 | Mother (62.7%) |
| West Asia | |||||
| Jarrah 2012 [ | Jordan | Urban | School-going | 408 | Mother (57.1%) |
| Reis 2011 [ | Turkey | Urban | Mix | 310 | Mother (18.7%) |
| Ersoy 2004 [ | Turkey | Urban | School-going | 1017 | Mother (55.7%) |
aPre-menarcheal sources
bSources among those with menstrual problems
cPost-menarcheal sources
dSources among those who ever received information
eSources among those with dysmenorrhea
fFirst source
Negative reaction upon reaching menarche
| First author, Year | Country | Setting | School status | N | Negative reactiona (%) |
|---|---|---|---|---|---|
| West Africa | |||||
| Aniebue 2009 [ | Nigeria | Urban | School-going | 495 | 50.3% |
| Oche 2012 [ | Nigeria | Urban | School-going | 122 | 53.3% |
| Central America | |||||
| Marván 2001 [ | Mexico | Urban | School-going | 98 | 15.3% |
| East Asia | |||||
| Tang 2003 [ | China | Unclear | School-going | 1,573 | 72.0% |
| South Asia | |||||
| Bosch 2008 [ | Bangladesh | Rural | Unclear | 86 | 64.0% |
| Mudey 2010 [ | India | Rural | School-going | 300 | 43.7% |
| Shanbhag 2012 [ | India | Rural | School-going | 329 | 44.1% |
| Tiwari 2006 [ | India | Unclear | School-going | 763 | 20.6% |
| Bobhate 2011 [ | India | Urban | Unclear | 241 | 64.7% |
| Udgiri 2010 [ | India | Urban | Unclear | 342 | 31.0% |
| Adhikari 2007 [ | Nepal | Rural | School-going | 150 | 96.7% |
| Ali 2010 [ | Pakistan | Urban | Government school | 425 | 55.8% |
| Ali 2010 [ | Pakistan | Urban | Out-of-school | 425 | 62.6% |
| Ali 2010 [ | Pakistan | Urban | Private school | 425 | 55.1% |
| West Asia | |||||
| Reis 2011 [ | Turkey | Urban | Mix | 310 | 43.9% |
| Ersoy 2004 [ | Turkey | Urban | School-going | 1,017 | 49.8% |
aReported shock, panic, confusion, tension, fear, shame or embarrassment at menarche
Physical impacts of menstruation
| First author, Year | Country | Setting | School status | N | PMSa | Severe painb | Headache | Swellingc | Fatigued |
|---|---|---|---|---|---|---|---|---|---|
| East Africa | |||||||||
| Zegeye 2009 [ | Ethiopia | Mix | School-going | 565 | 75.4% | 72.0% | NR | NR | NR |
| North Africa | |||||||||
| Abd El-Hameed 2011 [ | Egypt | Mix | School-going | 160 | NR | 94.4% | NR | NR | NR |
| West Africa | |||||||||
| Gumanga 2012 [ | Ghana | Urban | School-going | 456 | NR | 74.4% | NR | NR | NR |
| Ajah 2015 [ | Nigeria | Urban | School-going | 482 | 75.1% | 64.1% | NR | NR | NR |
| Aniebue 2009 [ | Nigeria | Urban | School-going | 495 | 26.7% | NR | NR | NR | |
| Central America | |||||||||
| Marván 2001 [ | Mexico | Urban | School-going | 98 | NR | NR | 6.1% | NR | 14.3% |
| South America | |||||||||
| Pitangui 2013 [ | Brazil | Urban | School-going | 174 | NR | 73.0% | 14.4% | 61.5% | 27.6% |
| South Asia | |||||||||
| Dambhare 2012 [ | India | Mix | School-going | 561 | 56.3% | 56.2% | 26.7% | NR | NR |
| Thakre 2012 [ | India | Mix | School-going | 387 | 55.8% | 61.0% | NR | NR | NR |
| Baidya 2014 [ | India | Rural | Mix | 200 | 8.5% | 59.5% | 16.0% | NR | 4.0% |
| Rana 2015 [ | India | Rural | Mix | 400 | NR | 46.8% | NR | NR | NR |
| Bodat 2013 [ | India | Rural | School-going | 622 | NR | 58.1% | NR | NR | NR |
| Kanotra 2013 [ | India | Rural | School-going | 323 | 3.1% | 18.3% | NR | NR | NR |
| Mudey 2010 [ | India | Rural | School-going | 300 | NR | NR | 25.7% | NR | NR |
| Shanbhag 2012 [ | India | Rural | School-going | 329 | NR | 61.3% | NR | NR | NR |
| Wasnik 2015 [ | India | Rural | School-going | 435 | 17.9% | 62.3% | 6.7% | NR | NR |
| Patil 2013 [ | India | Rural | Unclear | 440 | 93.2% | 28.0% | 1.8% | NR | NR |
| Chaudhuri 2012 [ | India | Unclear | School-going | 224 | NR | 59.8% | 28.1% (of 128) | NR | 70.3% (of 128) |
| Sharma 2008 [ | India | Urban | Mix | 198 | 63.1% | 67.2% | 16.7% | 11.1% | 48.0% |
| Chandraratne 2011 [ | Sri Lanka | Urban | School-going | 594 | 66.2% | 61.3% | 28.1% (of 393) | NR | 29.1% (of 393) |
| Nair 2012 [ | India | Urban | School-going | 3443 | NR | 72.4% | 13.9% | NR | 36.1% |
| Sharma 2003 [ | Nepal | Urban | School-going | 96 | NR | 69.8% | NR | NR | NR |
| Southeast Asia | |||||||||
| Lee 2006 [ | Malaysia | Mix | School-going | 2247 | 74.7% | 69.3% | NR | NR | NR |
| Wong 2011 [ | Malaysia | Rural | School-going | 1295 | NR | 76.0% | NR | NR | NR |
| Wong 2011 [ | Malaysia | Rural | School-going | 1295 | 63.1% | NR | 47.3% | 12.6% | 81.1% |
| Wong 2010 [ | Malaysia | Urban | School-going | 1075 | NR | 74.5% | NR | NR | NR |
| Wong 2011 [ | Malaysia | Urban | School-going | 1076 | 56.5% | NR | 38.4% | 13.1% | 75.4% |
| West Asia | |||||||||
| Poureslami 2002 [ | Iran | Urban | School-going | 250 | NR | 71.2% | NR | NR | NR |
| Jarrah 2012 [ | Jordan | Urban | School-going | 490 | NR | NR | 50.4% | NR | 80.6% |
| Santina 2012 [ | Lebanon | Urban | School-going | 389 | NR | 74.3% | 22.8% | 34.6% | NR |
| Eryilmaz 2009 [ | Turkey | Unclear | School-going | 1951 | NR | 72.2% | 26.1% (of 1408) | NR | 11.9% (of 1408) |
| Reis 2011 [ | Turkey | Urban | Mix | 310 | NR | 23.9% | NR | NR | NR |
PMS Premenstrual symptoms/syndrome, NR Not reported
aPremenstrual symptoms or premenstrual syndrome
bIncluding dysmenorrhea
cSwelling or bloating
dFatigue or dizziness
eHeadaches and fatigue reported among girls with dysmenorrhea who agreed to provide more information
fHeadaches and fatigue reported among girls with PMS
gHeadaches and fatigue reported among girls with dysmenorrhea
Social impacts of menstruation
| First author, Year | Country | Setting | School status | N | Avoid physical or social activitiesa (%) | Abstain from religious activities (%) | Miss school or work (%) |
|---|---|---|---|---|---|---|---|
| East Africa | |||||||
| Zegeye 2009 [ | Ethiopia | Mix | School-going | 407 | NR | NR | 48.2% |
| Boosey 2014 [ | Uganda | Rural | School-going | 140 | NR | NR | 61.7% (of 133) |
| North Africa | |||||||
| Abd El-Hameed 2011 [ | Egypt | Mix | School-going | 160 | 54 | NR | NR |
| West Africa | |||||||
| Adinma 2009 [ | Nigeria | Urban | School-going | 550 | NR | NR | 4.5% |
| Ajah 2015 [ | Nigeria | Urban | School-going | 482 | NR | NR | 12.2% |
| Aniebue 2009 [ | Nigeria | Urban | School-going | 495 | 37.6% | NR | 2.0% |
| Oche 2012 [ | Nigeria | Urban | School-going | 122 | 4.9% | 43.4% | NR |
| South America | |||||||
| Pitangui 2013 [ | Brazil | Urban | School-going | 127 | NR | NR | 30.7% |
| South Asia | |||||||
| Dambhare 2012 [ | India | Mix | School-going | 561 | NR | NR | 13.9% |
| Juyal 2013 [ | India | Mix | School-going | 453 | 8.6% | 87.4% | NR |
| Thakre 2011 [ | India | Mix | School-going | 387 | NR | 44.7% | 5.2% |
| Rana 2015 [ | India | Rural | Mix | 400 | 28.0% | 53.2% | 26.4%c |
| Bodat 2013 [ | India | Rural | School-going | 622 | NR | NR | 43.2% |
| Dasgupta 2008 [ | India | Rural | School-going | 136 | 36.3% | 60.0% | 13.8% |
| Kanotra 2013 [ | India | Rural | School-going | 59 | 76.6% | NR | NR |
| Mudey 2010 [ | India | Rural | School-going | 300 | NR | 87.0% | NR |
| Shanbhag 2012 [ | India | Rural | School-going | 329 | NR | 94.2% | NR |
| Sudeshna 2012 [ | India | Rural | School-going | 190 | NR | 75.8% | 37.9% |
| Chaudhuri 2012 [ | India | Unclear | School-going | 128 | 53.5% | NR | 25.8% |
| Sharma 2008 [ | India | Urban | Mix | 156 | 25.6% | NR | 17.2% (of 116)c |
| Goel 2011 [ | India | Urban | School-going | 478 | 42.7% | 76.2% | 14.0% |
| Sharma 2003 [ | Nepal | Urban | School-going | 67 | 20.0% | NR | NR |
| Yasmin 2013 [ | India | Urban | School-going | 147 | 18.4% | 90.5% | NR |
| Bobhate 2011 [ | India | Urban | Unclear | 241 | 24.1% | 90.0% | NR |
| Ali 2010 [ | Pakistan | Urban | Government school | 425 | 67.3% | NR | NR |
| Ali 2010 [ | Pakistan | Urban | Out-of-school | 425 | 58.1% | NR | NR |
| Ali 2010 [ | Pakistan | Urban | Private school | 425 | 58.1% | NR | NR |
| Southeast Asia | |||||||
| Lee 2006 [ | Malaysia | Mix | School-going | 2247 | NR | NR | 7.0% |
| Wong 2011 [ | Malaysia | Rural | School-going | 984 | 58.6% | NR | 18.1% |
| Wong 2010 [ | Malaysia | Urban | School-going | 801 | 50.2% | NR | NR |
| Wong 2011 [ | Malaysia | Urban | School-going | 1076 | 61.5% | NR | NR |
| West Asia | |||||||
| Poureslami 2002 [ | Iran | Urban | School-going | 250 | 33.0% | NR | 15.2% |
| Santina 2012 [ | Lebanon | Urban | School-going | 389 | NR | NR | 41.4% |
aAvoid or reduce physical activities (including playing and sports) or social activities (including functions and friendships with males)
bAmong girls with dysmenorrhea
cAmong school-going girls
Menstrual hygiene management practices (%)
| First author, Year | Country | Setting | School status | N | Use sanitary pads (%) | Use sanitary pads and cloth (%) | Use old or new cloth (%) | Use other materiala (%) | Bathe daily (%) |
|---|---|---|---|---|---|---|---|---|---|
| East Africa | |||||||||
| Zegeye 2009 [ | Ethiopia | Mix | School-going | 565 | 37.6% | NR | 62.5% | NR | NR |
| North Africa | |||||||||
| Abd El-Hameed 2011 [ | Egypt | Mix | School-going | 160 | NR | NR | NR | NR | 100.0%b |
| El-Gilany 2005 [ | Egypt | Mix | School-going | 642 | 66.8% | NR | 27.9% | 5.3% | 70.9%b |
| West Africa | |||||||||
| Iliyasu 2012 [ | Nigeria | Urban | Mix | 184 | 81.0% | NR | NR | NR | NR |
| Aniebue 2009 [ | Nigeria | Urban | School-going | 495 | 69.1% | NR | 9.1% | 21.8% | NR |
| Lawan 2010 [ | Nigeria | Urban | School-going | 371 | 93.8% | NR | 6.2% | NR | NR |
| Oche 2012 [ | Nigeria | Urban | School-going | 122 | 86.9% | NR | 9.0% | 4.1% | NR |
| Boosey 2014 [ | Uganda | Rural | School-going | 140 | 47.1% | NR | 87.1% | 37.1% | NR |
| South Asia | |||||||||
| Khanna 2005 [ | India | Mix | Out-of-school | 304 | 2.0% | NR | 90.9% | 0.3% | NR |
| Juyal 2013 [ | India | Mix | School-going | 453 | 38.4% | 26.7% | 34.9% | NR | 63.6% |
| Khanna 2005 [ | India | Mix | School-going | 307 | 6.2% | NR | 68.4% | 0.7% | NR |
| Khanna 2005 [ | India | Rural | Mix | 281 | 3.2% | NR | 92.2% | 0.7% | NR |
| Rana 2015 [ | India | Rural | Mix | 400 | 39.0% | NR | 61.0% | NR | NR |
| Bodat 2013 [ | India | Rural | School-going | 622 | 48.1% | NR | 51.9% | NR | NR |
| Dasgupta 2008 [ | India | Rural | School-going | 160 | 11.3% | 40% | 48.8% | NR | NR |
| Kanotra 2013 [ | India | Rural | School-going | 323 | 89.5% | NR | 10.5% | NR | NR |
| Mudey 2010 [ | India | Rural | School-going | 300 | 15.7% | NR | 46.7% | NR | NR |
| Narayan 2001 [ | India | Rural | School-going | 327 | 1.7% | 48% | 82.5% | NR | NR |
| Shanbhag 2012 [ | India | Rural | School-going | 329 | 44.1% | 21.2% | 34.7% | NR | 88.8% |
| Sudeshna 2012 [ | India | Rural | School-going | 190 | 13.2% | 24.2% | 62.6% | NR | NR |
| Thakre 2011 [ | India | Rural | School-going | 146 | 30.8% | NR | 69.2% | NR | NR |
| Wasnik 2015 [ | India | Rural | School-going | 435 | 33.6% | 9.2% | 57.2% | NR | NR |
| Dhingra 2009 [ | India | Rural | Unclear | 200 | NR | NR | NR | NR | 0.0%2 |
| Khanna 2005 [ | India | Urban | Mix | 330 | 4.8% | NR | 69.0% | 0.3% | NR |
| Goel 2011 [ | India | Urban | School-going | 478 | NR | NR | NR | NR | 92.9% |
| Nair 2012 [ | India | Urban | School-going | 3443 | 45.5% | 38.2% | 16.3% | NR | 97.6% |
| Narayan 2001 [ | India | Urban | School-going | 292 | 8.3% | 17.1% | 72.2% | NR | NR |
| Omidvar 2010 [ | India | Urban | School-going | 350 | 68.9% | NR | 19.1% | 11.1% | 81.7%b |
| Thakre 2011 [ | India | Urban | School-going | 241 | 60.6% | NR | 39.4% | NR | NR |
| Yasmin 2013 [ | India | Urban | School-going | 147 | 82.3% | 1.4% | 16.3% | NR | 85.7% |
| Bobhate 2011 [ | India | Urban | Unclear | 241 | 43.2% | NR | 41.5% | 15.4% | NR |
| Adhikari 2007 [ | Nepal | Rural | School-going | 150 | 2.0% | NR | 98.0% | NR | 4.0% |
| Ali 2010 [ | Pakistan | Urban | Government school | 425 | 17.9% | NR | 87.5% | 3.9% | 44.2%b |
| Ali 2010 [ | Pakistan | Urban | Out-of-school | 425 | 13.2% | NR | 81.0% | 6.6% | 45.9%b |
| Ali 2010 [ | Pakistan | Urban | Private school | 425 | 33.8% | NR | 62.6% | 4.4% | 45.2%b |
| West Asia | |||||||||
| Poureslami 2002 [ | Iran | Urban | School-going | 250 | NR | NR | NR | NR | 66.0%b |
NR Not reported
aOther materials include various types of tissue and cotton
bProportion of girls that bathe at all during their period
cMultiple responses accepted for materials used